Fig. 4
From: An AI-powered patient triage platform for future viral outbreaks using COVID-19 as a disease model
Random Forest (RF) machine learning algorithm to estimate the length of hospitalization of each SARS-CoV-2-infected patient admitted to the hospital. A Correlation plot between the RF estimated and the actual duration of hospitalization of SARS-CoV-2-infected patients; distribution of error (residuals) for training (B, red square) and test (C, blue square) sets. D The forty most significant factors in the structure of the RF model developed to predict the duration of hospitalization of SARS-CoV-2-infected patients (color figure online)